sensors-logo

Journal Browser

Journal Browser

Advances in Infrared Characteristics of Targets and Environments and Their Applications in Recognition and Sensing

A Special Issue of Sensors (ISSN 1424-8220) belonging to the section "Physical Sensors".

Deadline for manuscript submissions: 31 December 2026 | Viewed by 661

Editors


E-Mail Website
Guest Editor
School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China
Interests: photothermal conversion; metamaterials; near-field radiative heat transfer; photoelectric detection and imaging; infrared radiation simulation and measurement
Special Issues, Collections and Topics in MDPI journals
School of Cyberspace Security, Harbin Institute of Technology, Harbin 150001, China
Interests: target recognition; deep learning; reinforcement learning and image recognition technology; visual inspection system

Special Issue Information

Dear Colleagues,

In recent years, the rapid development of infrared detection, aerospace remote sensing, and intelligent recognition technologies has highlighted the critical role of infrared characteristic research for targets and environments. As the fundamental basis of infrared imaging, detection, and identification, the infrared characteristics of typical targets (e.g., aerial, space, ground, and maritime objects) and complex backgrounds (e.g., atmosphere, terrain, ocean, and deep space) directly determine the performance of infrared sensing and recognition systems. This Special Issue focuses on the latest advances in infrared characteristic modeling, measurement, and simulation, as well as their cutting-edge applications in target recognition and intelligent sensing.

This Special Issue aims to collect high-quality original research papers and comprehensive reviews addressing the key scientific and technical challenges in the field. Topics include, but are not limited to, atmospheric infrared radiation transmission and correction, infrared characteristic modeling and experimental verification of air–space–ground–sea targets and backgrounds, deep-space target infrared detection, deep learning-based infrared target recognition, robust sensing under complex interferences, multi-source infrared image fusion, and lightweight recognition algorithms for resource-constrained platforms.

We welcome submissions that present novel theories, efficient methods, high-precision simulation technologies, and practical engineering applications. By gathering innovative achievements from global researchers, this Special Issue seeks to promote academic exchanges, drive technological breakthroughs in infrared characteristic research and intelligent recognition, and expand the application boundaries of infrared sensing technology in military reconnaissance, security monitoring, aerospace, fire rescue, and other fields.

Dr. Mingjian He
Dr. Huanyu Liu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • infrared characteristics
  • target background
  • radiation transmission
  • infrared simulation
  • target recognition
  • infrared sensing
  • multi-source fusion
  • deep learning

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

29 pages, 4842 KB  
Article
Performance Evaluation, Optical Optimization and Earth-Based Validation of Star Sensors for Ground Detection in Martian Dust Environments
by Yuan Gao, Ming-Jian He, Yan Li, Hong-Yuan Wang, Shun-Li Li and Hong Qi
Sensors 2026, 26(15), 4686; https://doi.org/10.3390/s26154686 - 23 Jul 2026
Viewed by 408
Abstract
In deep-space exploration and remote sensing, characterizing radiative transfer in complex planetary atmospheres is fundamental for robust target detection and optical navigation. On the Martian surface, intense scattering and attenuation by dust aerosols pose severe environmental interference, challenging star sensors used for high-precision [...] Read more.
In deep-space exploration and remote sensing, characterizing radiative transfer in complex planetary atmospheres is fundamental for robust target detection and optical navigation. On the Martian surface, intense scattering and attenuation by dust aerosols pose severe environmental interference, challenging star sensors used for high-precision navigation. To address this, this study develops a spectral radiative transfer model based on the Null Collision Monte Carlo Method to characterize the optical background of the dusty Martian atmosphere. Mie scattering theory is employed for dust particles, while gas molecular absorption is modeled via line-by-line integration. The simulated sky radiance is validated against Mars rover Navcam observations, yielding an average relative error of 7.83% between the modeled and observed radiance values across scattering angles greater than 5°. Building on this, an imaging link model evaluates surface-based detection performance, including signal-to-noise ratio, detection success probability, and star count. Optical parameters—aperture, field of view, and integration time—are optimized for nighttime and dawn-dusk modes. Spatio-temporal assessments are conducted globally across Martian years, focusing on the Zhurong landing site and Tianwen-3 candidates. Finally, an Earth-environment equivalence experiment using a 60% transmittance filter verifies the design’s robustness. This work confirms the feasibility of star-sensor-based attitude determination on Mars. Full article
Show Figures

Figure 1

Back to TopTop